Example usage for org.apache.commons.math3.stat.inference GTest gTestDataSetsComparison

Introduction

In this page you can find the example usage for org.apache.commons.math3.stat.inference GTest gTestDataSetsComparison.

Prototype

public double gTestDataSetsComparison(final long[] observed1, final long[] observed2)
        throws DimensionMismatchException, NotPositiveException, ZeroException, MaxCountExceededException 

Source Link

Document

<p>Returns the <i>observed significance level</i>, or <a href= "http://www.cas.lancs.ac.uk/glossary_v1.1/hyptest.html#pvalue"> p-value</a>, associated with a G-Value (Log-Likelihood Ratio) for two sample test comparing bin frequency counts in observed1 and observed2 .</p> <p>The number returned is the smallest significance level at which one can reject the null hypothesis that the observed counts conform to the same distribution.

Usage

From source file:org.apache.solr.client.solrj.io.eval.GTestDataSetEvaluator.java

@Override
public Object doWork(Object value1, Object value2) throws IOException {

    List<Number> listA = (List<Number>) value1;
    List<Number> listB = (List<Number>) value2;

    long[] sampleA = new long[listA.size()];
    long[] sampleB = new long[listB.size()];

    for (int i = 0; i < sampleA.length; i++) {
        sampleA[i] = listA.get(i).longValue();
    }/*from w  w  w  .ja va  2  s. co m*/

    for (int i = 0; i < sampleB.length; i++) {
        sampleB[i] = listB.get(i).longValue();
    }

    GTest gTest = new GTest();
    double g = gTest.gDataSetsComparison(sampleA, sampleB);
    double p = gTest.gTestDataSetsComparison(sampleA, sampleB);

    Map<String, Number> m = new HashMap<>();
    m.put("G-statistic", g);
    m.put("p-value", p);
    return new Tuple(m);
}

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